Monitoring adaptive models

It is a regular data scientist task to inspect the health of the out-of-the-box Pega Customer Decision Hub™ predictions and the adaptive models that drive them, and share the findings with the business team. The predictive performance and success rate of individual adaptive models provide information that can help business users and decisioning architects to refine business processes. Learn how to monitor the performance of predictions, adaptive models, and predictors.

Débutant

Anglais

Après avoir terminé ce module, vous pourrez :

Describe the lift metrics of a prediction

Name the key metrics of adaptive models visualized in the bubble chart

Inspect individual active and inactive predictors

Explain how predictors with similar predictive performance are grouped

Examine the propensity distribution and the trend for the whole model

Appliquez ce que vous avez appris dans le Défi suivant :

Monitoring adaptive models v7

Disponible dans la mission suivante :

AI for 1:1 Customer Engagement v4

Rubriques

Regular monitoring of adaptive models

10 mins

Monitoring predictions

10 mins

Monitoring adaptive models

10 mins

Quiz du module

10 mins